MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4165
Single Precision Score
31753
Half Precision Score
36433
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 12 2024 06:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
15780
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20528
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21730
352.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27506
445.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8976
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120935
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118371
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
17527
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
19743
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
36798
437.2 IPS |
|
|
Face Detection (Q)
|
100% |
46081
547.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94959
731.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
119116
931.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22220
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
227585
292.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219882
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5209
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44367
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54514
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2798
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4964
6.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4932
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8186
141.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9625
166.3 IPS |
